Professional Experiences

Software Engineer, HSBC Technology

I worked in the Payments Data Platform Team to acclerate HSBC’s Cloud Adoptation. I enjoyed learning about payment lifecycle and data governance inside a finance company. Some of my projects were :

• Streaming Data pipelines using Apache Beam framework and Google Cloud Platform. These pipelines supported Payment State Management and Transaction Alert Systems
• Batch data pipelines using PySpark to process and archive 1 Million+ XML payment messages daily to support SWIFT transactions
• Error Logging Framework to track and record errors in streaming data pipelines to aid system manageability
• Big Table Integration - Introduced usage of Big Table to store auxiliary data and reduce system latency to ~300 ms per message
• Optimising existing Data Warehouse by data type inference and partitioning

Data Science Intern, Mahindra Group

I interned at Mahindra Group to harness Artificial Intelligence for Real Estate business development. My projects included :

• Image Segmentation models using the U-Net architecture to identify vacant land parcels from satellite imagery data with an accuracy of 85%. Trained and Deployed model using PyTorch and Microsoft Azure
• Javascript map visualization tools to retrieve, analyze and report real estate pricing trends and social infrastructure

Intern, Mojo Networks

• I worked on the indoor localisation problem during my internship at Mojo Networks. As a sophomore I demonstrated ability to quickly grasp new concepts and prototype different solutions.
• I developed a collaborative algorithm to track the location of consumer WiFi devices using existing infrastructure in linear time complexity that achieves less than 2.5m mean localization error. My Key contribution was utilizing interaction between 2 access points to mitigating environmental noise